Name: Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations (en Inglés)
SKU: 67194109
Price: 105.38 USD
Availability: InStock
Author: Tsung-Ming Huang;Ren-Cang Li;Wen-Wei Lin
ISBN: 9781611975352

portada Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations (en Inglés)

Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

Tsung-Ming Huang;Ren-Cang Li;Wen-Wei Lin

Colección

Fundamentals of Algorithms

Año

2018

Idioma

Inglés

N° páginas

144

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2 cm

ISBN13

9781611975352

Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations (en Inglés)

Tsung-Ming Huang;Ren-Cang Li;Wen-Wei Lin (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

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Reseña del libro "Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations (en Inglés)"

Nonlinear matrix equations arise frequently in applied science and engineering. This is the first book to provide a unified treatment of structure-preserving doubling algorithms, which have been recently studied and proven effective for notoriously challenging problems, such as fluid queue theory and vibration analysis for high-speed trains.

Nonlinear matrix equations arise frequently in applied science and engineering. This is the first book to provide a unified treatment of structure-preserving doubling algorithms, which have been recently studied and proven effective for notoriously challenging problems, such as fluid queue theory and vibration analysis for high-speed trains. The authors present recent developments and results for the theory of doubling algorithms for nonlinear matrix equations associated with regular matrix pencils, and highlight the use of these algorithms in achieving robust solutions for notoriously challenging problems that other methods cannot.

Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations is intended for researchers and computational scientists. Graduate students may also find it of interest.